#[non_exhaustive]pub struct EntityRecognizerEvaluationMetrics { /* private fields */ }Expand description
Detailed information about the accuracy of an entity recognizer.
Implementations§
source§impl EntityRecognizerEvaluationMetrics
impl EntityRecognizerEvaluationMetrics
sourcepub fn precision(&self) -> Option<f64>
pub fn precision(&self) -> Option<f64>
A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
sourcepub fn recall(&self) -> Option<f64>
pub fn recall(&self) -> Option<f64>
A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
sourcepub fn f1_score(&self) -> Option<f64>
pub fn f1_score(&self) -> Option<f64>
A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score.
source§impl EntityRecognizerEvaluationMetrics
impl EntityRecognizerEvaluationMetrics
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture EntityRecognizerEvaluationMetrics.
Trait Implementations§
source§impl Clone for EntityRecognizerEvaluationMetrics
impl Clone for EntityRecognizerEvaluationMetrics
source§fn clone(&self) -> EntityRecognizerEvaluationMetrics
fn clone(&self) -> EntityRecognizerEvaluationMetrics
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read more